Senior AI Engineer - Agentic AI & LLM Reasoning (Coimbatore)

Job Title: Senior AI Engineer - Agentic AI & LLM Reasoning Location: Coimbatore, Tamilnadu, India Experience Level: 6 + yrs Open Positions : 2 About Aivar Innovations Aivar Innovations is an AI -first technology partner, where cutting -edge advancement meets industry expertise. At Aivar, we accelerate digital transformation for our clients by integrating AI and machine learning into every stage of consulting while delivering scalable, repeatable solutions. We welcome people who are curious, innovative, and passionate about shaping the future of intelligent systems. What You'll Build About the Role We are seeking exceptional Senior AI Engineers to lead the development and optimization of agentic AI systems powering Velogent -Aivar's flagship agentic process automation platform for regulated industries. You will architect advanced multi -agent systems that reason, validate, and act autonomously on complex business processes like invoice processing, RFQ management, and loan approvals while maintaining strict regulatory compliance. Your work will directly impact enterprise customers who require 80%+ reduction in manual effort with 90%+ accuracy. Core Responsibilities - Design and architect advanced multi -agent systems using LLM reasoning frameworks capable of autonomously executing complex, multi -step business processes - Develop sophisticated prompt engineering strategies and agent orchestration patterns enabling agentic AI to reason through domain -specific business logic with explainability - Implement various multi -agentic patterns including critic agents, observer agents, and specialized task agents within the ReVAct (Reason, Validate, Act) framework - Build and optimize LLM reasoning pipelines supporting chain -of -thought, tree -of -thought, and graph -based reasoning approaches for complex decision -making - Design validation frameworks ensuring agentic AI decisions maintain regulatory compliance and audit trail requirements in financial services, healthcare, and life sciences - Implement guardrails and inspection systems detecting emergent agent behaviors and enforcing business rule boundaries - Develop evaluation frameworks and benchmarking methodologies for assessing multi -agent system accuracy, consistency, and decision quality - Lead integration with enterprise systems including document repositories, APIs, email systems, and knowledge bases through Model Context Protocol (MCP) standards - Mentor junior engineers and establish best practices for agentic AI development and governance - Stay current with latest LLM advances (GPT -4, Claude, Llama) and agentic frameworks (LangChain, CrewAI, Autogen, etc.) Requirements What You Bring : Must -Have Qualifications - LLM Reasoning Expertise: Deep knowledge of large language model capabilities, limitations, and advanced reasoning techniques (chain -of -thought, few -shot prompting, in -context learning) - Multi -Agent Architecture: Production experience designing and building multi -agent systems with understanding of agent coordination, communication patterns, and task decomposition - Agentic AI Frameworks: Hands -on experience with agentic AI implementations using frameworks like LangChain, CrewAI, AutoGen, or similar; ability to architect complex agent interactions - LLM Fine -Tuning & Optimization: Experience fine -tuning LLMs for domain -specific tasks, adapting models for regulatory compliance, and optimizing for inference efficiency - LangFuse / Observability: Proficiency with LLM observability platforms (LangFuse, LangSmith, or equivalent) for debugging, monitoring, and optimizing multi -agent workflows - Python Expertise: Job